A probabilistic rough set approach for water reservoirs site location decision making

  • Authors:

  • Shaaban M. Shaaban;Hossam A. Nabwey

  • Affiliations:

  • Department of Engineering Basic science, Faculty of Engineering, Menofia University, Menofia, Egypt;Department of Engineering Basic science, Faculty of Engineering, Menofia University, Menofia, Egypt

  • Venue:
  • ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
  • Year:
  • 2012

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Abstract

Recently, advanced methods have been developed for selection of suitable sites for water reservoirs. Although these methods being developed and some new approaches, like GIS techniques, are being used currently, all these methods are mostly dependent on engineering decision making and a need for high cost. In this study, a new approach in the determination of water reservoirs location is proposed. The core of the proposed approach is a soft hybrid induction system called the Generalized Distribution Table and Rough Set System (GDT-RS) to discover classification rules. The system is based on a combination of Generalized Distribution Table (GDT) and the Rough Set methodologies the proposed approach is applied for water reservoirs site location and the results indicate that it is very effective and accurate.